Evidence map›Paper›PMID 38465475›Full record

ArticleMicrobial biotechnology2024

Engineering and application of LacI mutants with stringent expressions.

Jieyuan Wu, Chaoning Liang, Yufei Li, Yueting Zeng, Xu Sun, Peixia Jiang, Wei Chen, Dandan Xiong, Jian-Ming Jin, Shuang-Yan Tang

Open access · goldAbstract read
In one paragraph

Article in Microbial biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Jieyuan WuCAS Key Laboratory of Microbial Physiological and Metabolic Engineering, State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Chaoning LiangCAS Key Laboratory of Microbial Physiological and Metabolic Engineering, State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Yufei LiCAS Key Laboratory of Microbial Physiological and Metabolic Engineering, State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Yueting ZengSchool of Life Sciences, Hebei University, Baoding, China.
Xu SunBeijing Key Laboratory of Plant Resources Research and Development, Beijing Technology and Business University, Beijing, China.
Peixia JiangCAS Key Laboratory of Microbial Physiological and Metabolic Engineering, State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Wei ChenCAS Key Laboratory of Microbial Physiological and Metabolic Engineering, State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Dandan XiongCAS Key Laboratory of Microbial Physiological and Metabolic Engineering, State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Jian-Ming JinBeijing Key Laboratory of Plant Resources Research and Development, Beijing Technology and Business University, Beijing, China.
Shuang-Yan TangCAS Key Laboratory of Microbial Physiological and Metabolic Engineering, State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-1056-8690
Chinese Academy of Sciences · CNBeijing Technology and Business University · CNHebei University · CN

Funding

Instrument Developing Project of Chinese Academy of Science YJKYYQ20210032the National Key Research and Development Program of China Grant 2021YFC2103901the National Natural Science Foundation of China 31961133016the National Natural Science Foundation of China 31970080the National Natural Science Foundation of China 31971337the National Natural Science Foundation of China 31971382
6 · The paper itself

Abstract

Optimal transcriptional regulatory circuits are expected to exhibit stringent control, maintaining silence in the absence of inducers while exhibiting a broad induction dynamic range upon the addition of effectors. In the P

Indexed as

Escherichia coliEscherichia coli ProteinsBacterial ProteinsLac RepressorsMutationPromoter Regions, GeneticBacterial ProteinsEscherichia coli ProteinsLac Repressors

Identifiers

PMID38465475
PMCPMC10926051
OpenAlexW4392649488

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.